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AutoML Performance

AutoML Performance Boxplot

Features Importance

Spearman Correlation of Models

Summary of 1_Baseline
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Baseline Classifier (Baseline)
- n_jobs: -1
- num_class: 8
- explain_level: 2
Validation
- validation_type: split
- train_ratio: 0.75
- shuffle: True
- stratify: True
Optimized metric
logloss
Training time
1.4 seconds
Metric details
|
adolescent |
adult |
child |
elderly |
mature adult |
senior |
teen |
young adult |
accuracy |
macro avg |
weighted avg |
logloss |
| precision |
0 |
0.260853 |
0 |
0 |
0 |
0 |
0 |
0 |
0.260853 |
0.0326067 |
0.0680445 |
1.95083 |
| recall |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
0.260853 |
0.125 |
0.260853 |
1.95083 |
| f1-score |
0 |
0.413773 |
0 |
0 |
0 |
0 |
0 |
0 |
0.260853 |
0.0517216 |
0.107934 |
1.95083 |
| support |
1246 |
4891 |
3159 |
1036 |
3171 |
2025 |
1331 |
1891 |
0.260853 |
18750 |
18750 |
1.95083 |
Confusion matrix
|
Predicted as adolescent |
Predicted as adult |
Predicted as child |
Predicted as elderly |
Predicted as mature adult |
Predicted as senior |
Predicted as teen |
Predicted as young adult |
| Labeled as adolescent |
0 |
1246 |
0 |
0 |
0 |
0 |
0 |
0 |
| Labeled as adult |
0 |
4891 |
0 |
0 |
0 |
0 |
0 |
0 |
| Labeled as child |
0 |
3159 |
0 |
0 |
0 |
0 |
0 |
0 |
| Labeled as elderly |
0 |
1036 |
0 |
0 |
0 |
0 |
0 |
0 |
| Labeled as mature adult |
0 |
3171 |
0 |
0 |
0 |
0 |
0 |
0 |
| Labeled as senior |
0 |
2025 |
0 |
0 |
0 |
0 |
0 |
0 |
| Labeled as teen |
0 |
1331 |
0 |
0 |
0 |
0 |
0 |
0 |
| Labeled as young adult |
0 |
1891 |
0 |
0 |
0 |
0 |
0 |
0 |
Learning curves

Confusion Matrix

Normalized Confusion Matrix

ROC Curve

Precision Recall Curve

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Summary of 2_DecisionTree
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Decision Tree
- n_jobs: -1
- criterion: gini
- max_depth: 3
- num_class: 8
- explain_level: 2
Validation
- validation_type: split
- train_ratio: 0.75
- shuffle: True
- stratify: True
Optimized metric
logloss
Training time
6.9 seconds
Metric details
|
adolescent |
adult |
child |
elderly |
mature adult |
senior |
teen |
young adult |
accuracy |
macro avg |
weighted avg |
logloss |
| precision |
0 |
1 |
1 |
1 |
1 |
1 |
0 |
0.423232 |
0.86256 |
0.677904 |
0.804391 |
0.25755 |
| recall |
0 |
1 |
1 |
1 |
1 |
1 |
0 |
1 |
0.86256 |
0.75 |
0.86256 |
0.25755 |
| f1-score |
0 |
1 |
1 |
1 |
1 |
1 |
0 |
0.594748 |
0.86256 |
0.699343 |
0.821689 |
0.25755 |
| support |
1246 |
4891 |
3159 |
1036 |
3171 |
2025 |
1331 |
1891 |
0.86256 |
18750 |
18750 |
0.25755 |
Confusion matrix
|
Predicted as adolescent |
Predicted as adult |
Predicted as child |
Predicted as elderly |
Predicted as mature adult |
Predicted as senior |
Predicted as teen |
Predicted as young adult |
| Labeled as adolescent |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1246 |
| Labeled as adult |
0 |
4891 |
0 |
0 |
0 |
0 |
0 |
0 |
| Labeled as child |
0 |
0 |
3159 |
0 |
0 |
0 |
0 |
0 |
| Labeled as elderly |
0 |
0 |
0 |
1036 |
0 |
0 |
0 |
0 |
| Labeled as mature adult |
0 |
0 |
0 |
0 |
3171 |
0 |
0 |
0 |
| Labeled as senior |
0 |
0 |
0 |
0 |
0 |
2025 |
0 |
0 |
| Labeled as teen |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1331 |
| Labeled as young adult |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1891 |
Learning curves

Permutation-based Importance

Confusion Matrix

Normalized Confusion Matrix

ROC Curve

Precision Recall Curve

SHAP Importance

SHAP Dependence plots
Dependence adolescent (Fold 1)

Dependence adult (Fold 1)

Dependence child (Fold 1)

Dependence elderly (Fold 1)

Dependence mature adult (Fold 1)

Dependence senior (Fold 1)

Dependence teen (Fold 1)

Dependence young adult (Fold 1)

SHAP Decision plots
Worst decisions for selected sample 1 (Fold 1)

Worst decisions for selected sample 2 (Fold 1)

Worst decisions for selected sample 3 (Fold 1)

Worst decisions for selected sample 4 (Fold 1)

Best decisions for selected sample 1 (Fold 1)

Best decisions for selected sample 2 (Fold 1)

Best decisions for selected sample 3 (Fold 1)

Best decisions for selected sample 4 (Fold 1)

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Summary of 3_Default_Xgboost
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Extreme Gradient Boosting (Xgboost)
- n_jobs: -1
- objective: multi:softprob
- eta: 0.075
- max_depth: 6
- min_child_weight: 1
- subsample: 1.0
- colsample_bytree: 1.0
- eval_metric: mlogloss
- num_class: 8
- explain_level: 2
Validation
- validation_type: split
- train_ratio: 0.75
- shuffle: True
- stratify: True
Optimized metric
logloss
Training time
35.8 seconds
Metric details
|
adolescent |
adult |
child |
elderly |
mature adult |
senior |
teen |
young adult |
accuracy |
macro avg |
weighted avg |
logloss |
| precision |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
6.95342e-05 |
| recall |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
6.95342e-05 |
| f1-score |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
6.95342e-05 |
| support |
1246 |
4891 |
3159 |
1036 |
3171 |
2025 |
1331 |
1891 |
1 |
18750 |
18750 |
6.95342e-05 |
Confusion matrix
|
Predicted as adolescent |
Predicted as adult |
Predicted as child |
Predicted as elderly |
Predicted as mature adult |
Predicted as senior |
Predicted as teen |
Predicted as young adult |
| Labeled as adolescent |
1246 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
| Labeled as adult |
0 |
4891 |
0 |
0 |
0 |
0 |
0 |
0 |
| Labeled as child |
0 |
0 |
3159 |
0 |
0 |
0 |
0 |
0 |
| Labeled as elderly |
0 |
0 |
0 |
1036 |
0 |
0 |
0 |
0 |
| Labeled as mature adult |
0 |
0 |
0 |
0 |
3171 |
0 |
0 |
0 |
| Labeled as senior |
0 |
0 |
0 |
0 |
0 |
2025 |
0 |
0 |
| Labeled as teen |
0 |
0 |
0 |
0 |
0 |
0 |
1331 |
0 |
| Labeled as young adult |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1891 |
Learning curves

Permutation-based Importance

Confusion Matrix

Normalized Confusion Matrix

ROC Curve

Precision Recall Curve

SHAP Importance

SHAP Dependence plots
Dependence adolescent (Fold 1)

Dependence adult (Fold 1)

Dependence child (Fold 1)

Dependence elderly (Fold 1)

Dependence mature adult (Fold 1)

Dependence senior (Fold 1)

Dependence teen (Fold 1)

Dependence young adult (Fold 1)

SHAP Decision plots
Worst decisions for selected sample 1 (Fold 1)

Worst decisions for selected sample 2 (Fold 1)

Worst decisions for selected sample 3 (Fold 1)

Worst decisions for selected sample 4 (Fold 1)

Best decisions for selected sample 1 (Fold 1)

Best decisions for selected sample 2 (Fold 1)

Best decisions for selected sample 3 (Fold 1)

Best decisions for selected sample 4 (Fold 1)

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Summary of 4_Default_NeuralNetwork
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Neural Network
- n_jobs: -1
- dense_1_size: 32
- dense_2_size: 16
- learning_rate: 0.05
- num_class: 8
- explain_level: 2
Validation
- validation_type: split
- train_ratio: 0.75
- shuffle: True
- stratify: True
Optimized metric
logloss
Training time
6.7 seconds
Metric details
|
adolescent |
adult |
child |
elderly |
mature adult |
senior |
teen |
young adult |
accuracy |
macro avg |
weighted avg |
logloss |
| precision |
1 |
1 |
1 |
1 |
1 |
0.999013 |
1 |
1 |
0.999893 |
0.999877 |
0.999893 |
0.00305178 |
| recall |
1 |
0.999591 |
1 |
1 |
1 |
1 |
1 |
1 |
0.999893 |
0.999949 |
0.999893 |
0.00305178 |
| f1-score |
1 |
0.999796 |
1 |
1 |
1 |
0.999506 |
1 |
1 |
0.999893 |
0.999913 |
0.999893 |
0.00305178 |
| support |
1246 |
4891 |
3159 |
1036 |
3171 |
2025 |
1331 |
1891 |
0.999893 |
18750 |
18750 |
0.00305178 |
Confusion matrix
|
Predicted as adolescent |
Predicted as adult |
Predicted as child |
Predicted as elderly |
Predicted as mature adult |
Predicted as senior |
Predicted as teen |
Predicted as young adult |
| Labeled as adolescent |
1246 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
| Labeled as adult |
0 |
4889 |
0 |
0 |
0 |
2 |
0 |
0 |
| Labeled as child |
0 |
0 |
3159 |
0 |
0 |
0 |
0 |
0 |
| Labeled as elderly |
0 |
0 |
0 |
1036 |
0 |
0 |
0 |
0 |
| Labeled as mature adult |
0 |
0 |
0 |
0 |
3171 |
0 |
0 |
0 |
| Labeled as senior |
0 |
0 |
0 |
0 |
0 |
2025 |
0 |
0 |
| Labeled as teen |
0 |
0 |
0 |
0 |
0 |
0 |
1331 |
0 |
| Labeled as young adult |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1891 |
Learning curves

Permutation-based Importance

Confusion Matrix

Normalized Confusion Matrix

ROC Curve

Precision Recall Curve

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Summary of 5_Default_RandomForest
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Random Forest
- n_jobs: -1
- criterion: gini
- max_features: 0.9
- min_samples_split: 30
- max_depth: 4
- eval_metric_name: logloss
- num_class: 8
- explain_level: 2
Validation
- validation_type: split
- train_ratio: 0.75
- shuffle: True
- stratify: True
Optimized metric
logloss
Training time
6.2 seconds
Metric details
|
adolescent |
adult |
child |
elderly |
mature adult |
senior |
teen |
young adult |
accuracy |
macro avg |
weighted avg |
logloss |
| precision |
1 |
1 |
1 |
1 |
1 |
1 |
0.757004 |
0.996312 |
0.97696 |
0.969164 |
0.982379 |
0.355845 |
| recall |
0.658909 |
1 |
1 |
1 |
1 |
1 |
0.994741 |
1 |
0.97696 |
0.956706 |
0.97696 |
0.355845 |
| f1-score |
0.794388 |
1 |
1 |
1 |
1 |
1 |
0.85974 |
0.998153 |
0.97696 |
0.956535 |
0.976194 |
0.355845 |
| support |
1246 |
4891 |
3159 |
1036 |
3171 |
2025 |
1331 |
1891 |
0.97696 |
18750 |
18750 |
0.355845 |
Confusion matrix
|
Predicted as adolescent |
Predicted as adult |
Predicted as child |
Predicted as elderly |
Predicted as mature adult |
Predicted as senior |
Predicted as teen |
Predicted as young adult |
| Labeled as adolescent |
821 |
0 |
0 |
0 |
0 |
0 |
425 |
0 |
| Labeled as adult |
0 |
4891 |
0 |
0 |
0 |
0 |
0 |
0 |
| Labeled as child |
0 |
0 |
3159 |
0 |
0 |
0 |
0 |
0 |
| Labeled as elderly |
0 |
0 |
0 |
1036 |
0 |
0 |
0 |
0 |
| Labeled as mature adult |
0 |
0 |
0 |
0 |
3171 |
0 |
0 |
0 |
| Labeled as senior |
0 |
0 |
0 |
0 |
0 |
2025 |
0 |
0 |
| Labeled as teen |
0 |
0 |
0 |
0 |
0 |
0 |
1324 |
7 |
| Labeled as young adult |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1891 |
Learning curves

Permutation-based Importance

Confusion Matrix

Normalized Confusion Matrix

ROC Curve

Precision Recall Curve

SHAP Importance

SHAP Dependence plots
Dependence adolescent (Fold 1)

Dependence adult (Fold 1)

Dependence child (Fold 1)

Dependence elderly (Fold 1)

Dependence mature adult (Fold 1)

Dependence senior (Fold 1)

Dependence teen (Fold 1)

Dependence young adult (Fold 1)

SHAP Decision plots
Worst decisions for selected sample 1 (Fold 1)

Worst decisions for selected sample 2 (Fold 1)

Worst decisions for selected sample 3 (Fold 1)

Worst decisions for selected sample 4 (Fold 1)

Best decisions for selected sample 1 (Fold 1)

Best decisions for selected sample 2 (Fold 1)

Best decisions for selected sample 3 (Fold 1)

Best decisions for selected sample 4 (Fold 1)

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Summary of Ensemble
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Ensemble structure
| Model |
Weight |
| 3_Default_Xgboost |
1 |
Metric details
|
adolescent |
adult |
child |
elderly |
mature adult |
senior |
teen |
young adult |
accuracy |
macro avg |
weighted avg |
logloss |
| precision |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
6.95342e-05 |
| recall |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
6.95342e-05 |
| f1-score |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
6.95342e-05 |
| support |
1246 |
4891 |
3159 |
1036 |
3171 |
2025 |
1331 |
1891 |
1 |
18750 |
18750 |
6.95342e-05 |
Confusion matrix
|
Predicted as adolescent |
Predicted as adult |
Predicted as child |
Predicted as elderly |
Predicted as mature adult |
Predicted as senior |
Predicted as teen |
Predicted as young adult |
| Labeled as adolescent |
1246 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
| Labeled as adult |
0 |
4891 |
0 |
0 |
0 |
0 |
0 |
0 |
| Labeled as child |
0 |
0 |
3159 |
0 |
0 |
0 |
0 |
0 |
| Labeled as elderly |
0 |
0 |
0 |
1036 |
0 |
0 |
0 |
0 |
| Labeled as mature adult |
0 |
0 |
0 |
0 |
3171 |
0 |
0 |
0 |
| Labeled as senior |
0 |
0 |
0 |
0 |
0 |
2025 |
0 |
0 |
| Labeled as teen |
0 |
0 |
0 |
0 |
0 |
0 |
1331 |
0 |
| Labeled as young adult |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1891 |
Learning curves

Confusion Matrix

Normalized Confusion Matrix

ROC Curve

Precision Recall Curve

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